Simon Haykin
Impact in
- Artificial Intelligence top 0.05%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Signal Processing top 0.1%
- Blind Source Separation Techniques
Papers in
-
- Neural Networks and Applications 8
- Target Tracking and Data Fusion in Sensor Networks 8
-
- Blind Source Separation Techniques 6
- Co-authors
- José C. Prı́ncipe (4 shared papers)Weifeng Liu (1 shared paper)Peyman Setoodeh (2 shared papers)Yanbo Xue (2 shared papers)Le Yang (1 shared paper)Vikram Krishnamurthy (1 shared paper)Alex Wang (1 shared paper)J.P. Reilly (1 shared paper)
- Journals
- Proceedings of the IEEE (6 papers)IEEE Signal Processing Magazine (1 paper)IEEE Signal Processing Letters (1 paper)Neural Networks (1 paper)Signal Processing (1 paper)
- Partner nations
- CanadaUnited StatesBelgium
In The Last Decade
Simon Haykin
43 papers receiving 20.8k citations
Simon Haykin's Hit Papers
Peers
Comparison fields: 5 of 223
- Artificial Intelligence 8.2k
- Signal Processing 2.5k
- Computer Vision and Pattern Recognition 3.0k
- Control and Systems Engineering 3.3k
- Environmental Engineering 1.8k
Countries citing papers authored by Simon Haykin
This map shows the geographic impact of Simon Haykin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Haykin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Haykin more than expected).
Fields of papers citing papers by Simon Haykin
This network shows the impact of papers produced by Simon Haykin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Haykin. The network helps show where Simon Haykin may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Haykin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neural Networks: A Comprehensive Foundation Hit paper breakdown → | 1998 | 21291 |
| 2 | Kernel Adaptive Filtering: A Comprehensive Introduction Hit paper breakdown → | 2010 | 391 |
| 3 | Kernel Adaptive Filtering Hit paper breakdown → | 2010 | 388 |
| 4 | 2012 | 169 | |
| 5 | 2009 | 134 | |
| 6 | 2007 | 132 | |
| 7 | Neural Networks: A Comprehensive Foundation (3rd Edition) | 2007 | 68 |
| 8 | 2007 | 64 | |
| 9 | 2006 | 28 | |
| 10 | 1990 | 25 | |
| 11 | 2007 | 22 | |
| 12 | 2001 | 19 | |
| 13 | 1982 | 18 | |
| 14 | 2004 | 17 | |
| 15 | 1997 | 14 | |
| 16 | 1999 | 14 | |
| 17 | 1982 | 13 | |
| 18 | Adaptive signal processing | 1998 | 12 |
| 19 | 2002 | 11 | |
| 20 | Generalized support vector machines. | 1999 | 9 |
About Simon Haykin
Simon Haykin is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics, having authored 44 papers that have together received 22.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Radar Systems and Signal Processing (6 papers), Blind Source Separation Techniques (6 papers), Advanced Adaptive Filtering Techniques (4 papers), Face and Expression Recognition (3 papers), Hearing Loss and Rehabilitation (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Artificial Intelligence (8.2k citations), Signal Processing (2.5k citations), Computer Vision and Pattern Recognition (3.0k citations), Control and Systems Engineering (3.3k citations) and Environmental Engineering (1.8k citations). Simon Haykin has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include José C. Prı́ncipe, Weifeng Liu, Weifeng Liu, Peyman Setoodeh, Yanbo Xue, Le Yang, Vikram Krishnamurthy, Alex Wang, J.P. Reilly and Davide Mattera. Their work appears in journals such as Proceedings of the IEEE, IEEE Signal Processing Magazine, IEEE Signal Processing Letters, Neural Networks and Signal Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.